Data Engineer

Fulcrum Digital Inc; Dublin; Híbrido; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Fulcrum Digital Inc. in Dublin, Ireland, seeks an innovative Data Engineer for a hybrid Dublin/Remote role.

You will lead the technical design and development of the Analytic Foundation, a suite of APIs delivering data and insights from a central data store. The ideal candidate has extensive full-stack experience, strong Python/Scala and Spark skills, and a track record of building scalable data-driven applications.

Qualificações

• 4+ years of full stack engineering in an agile production environment.
• Experience leading the design and implementation of large, complex features in full-stack applications.
• Ability to easily move between business, data management, and technical teams; identify technical solutions to enable business use cases.
• Experience leveraging open source tools, predictive analytics, machine learning, and advanced statistics to perform analyses.
• High proficiency in Python, Scala, Spark, Hadoop, Hive, Impala, Airflow, NiFi, Sqoop and SQL to build Big Data products.
• Experience in cloud technologies like Databricks/AWS/Azure.
• Strong written and verbal English communication skills.

Responsabilidades

• Lead the technical design and development of the Analytic Foundation APIs.
• Push the boundaries of analytics and scalable applications.
• Build and maintain analytics and data models to enable performant products.
• Ensure a high-quality code base by writing and reviewing well-tested code.
• Mentor junior engineers and teammates.
• Drive improvements to development processes and workflows.
• Collaborate with Product Managers and Designers to understand users and use cases.

Conhecimentos

Full-stack development

Python/Scala

Spark

Hadoop ecosystem

SQL

Cloud platforms

Open source tooling

Mentoring

Formação académica

Degree in Computer Science or related field

Ferramentas

Hive

Impala

Airflow

NiFi

Sqoop

Databricks

AWS

Azure

Descrição da oferta de emprego

Data EngineerPermanentDublin/Hybrid

Requirements

We are looking for an innovative data engineer who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers.

Position Responsibilities

As a Data Engineer within Advanced Analytics team, you will:

• Play a large role in the implementation of complex features
• Push the boundaries of analytics and powerful, scalable applications
• Build and maintain analytics and data models to enable performant and scalable products
• Ensure a high-quality code base by writing and reviewing performant, well-tested code
• Mentor junior engineers and teammates
• Drive innovative improvements to team development processes
• Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features
• Collaborate across teams with exceptional peers who are passionate aboutwhat they do

Ideal Candidate Qualifications

• 4+ years of full stack engineering experience in an agile production environment
• Experience leading the design and implementation of large, complex features in full-stack applications
• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
• Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses
• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
• Experience in cloud technologies like Databricks/AWS/Azure
• Strong technologist with proven track record of learning new technologies and frameworks
• Customer-centric development approach
• Passion for analytical / quantitative problem solving
• Experience identifying and implementing technical improvements to development processes
• Collaboration skills with experience working with people across roles and geographies
• Motivation, creativity, self-direction, and desire to thrive on small project teams
• Superior academic record with a degree in Computer Science or related technical field
• Strong written and verbal English communication skills